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Mi-Yen Yeh
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2020 – today
- 2023
- [c44]Zee Hen Tang, Mi-Yen Yeh:
EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration. CIKM 2023: 2402-2411 - [c43]Chia-Chen Yen, Mi-Yen Yeh, Ming-Syan Chen:
Integrated Multi-Ported Memory Distribution for Temporal-Multiplexing Workloads on FPGAs. ICFPT 2023: 209-216 - [c42]Yen-Ching Tseng, Zu-Mu Chen, Mi-Yen Yeh, Shou-De Lin:
UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network. PAKDD (2) 2023: 53-65 - [c41]Chontipan Plengvittaya, Zee Hen Tang, Mi-Yen Yeh, Chih-Ya Shen:
Boosting Patch Correctness Checking via Combining Code-Edit Embeddings as Additional What-to-Change Information. WI/IAT 2023: 346-350 - 2022
- [j15]Chia-Chen Yen, Mi-Yen Yeh, Ming-Syan Chen:
Unified Multiple Constant Multipliers for Dynamic Exchange of Low-Precision Kernels on FPGAs. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1617-1621 (2022) - 2021
- [c40]Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo:
PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding. AAAI 2021: 4019-4026 - [c39]Han-Hsien Huang, Mi-Yen Yeh:
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. AAAI 2021: 7832-7839 - [c38]Chih-Hsien Fang, Yi-Ling Chen, Mi-Yen Yeh, Yan-Shuo Lin:
Multi-head Attention with Hint Mechanisms for Joint Extraction of Entity and Relation. DASFAA (Workshops) 2021: 321-335 - [c37]Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, Yi-Shin Chen:
NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. DSAA 2021: 1-9 - [c36]Szu-Yuan Cheng, Yi-Ling Chen, Mi-Yen Yeh, Bo-Tao Lin:
Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking. PAKDD (2) 2021: 716-729 - 2020
- [c35]Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Yi-Shin Chen:
Addressing Competitive Influence Maximization on Unknown Social Network with Deep Reinforcement Learning. ASONAM 2020: 196-203 - [i2]Han-Hsien Huang, Mi-Yen Yeh:
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. CoRR abs/2012.04228 (2020)
2010 – 2019
- 2019
- [j14]Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin:
DeepRank: improving unsupervised node ranking via link discovery. Data Min. Knowl. Discov. 33(2): 474-498 (2019) - [j13]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. Frontiers Big Data 2: 49 (2019) - [j12]Shan-Yun Teng, Lo Pang-Yun Ting, Mi-Yen Yeh, Kun-Ta Chuang:
Worship prediction: identify followers in celebrity-dived networks. World Wide Web 22(1): 347-373 (2019) - [c34]Yu-Chen Wu, Mi-Yen Yeh, Tei-Wei Kuo:
Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation. IEEE BigData 2019: 1407-1416 - [c33]Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin:
MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. WWW 2019: 470-479 - 2018
- [j11]Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh:
Forecasting participants of information diffusion on social networks with its applications. Inf. Sci. 422: 432-446 (2018) - [j10]Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang:
Node reactivation model to intensify influence on network targets. Knowl. Inf. Syst. 54(3): 567-590 (2018) - [j9]Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen:
Non-Overlapping Subsequence Matching of Stream Synopses. IEEE Trans. Knowl. Data Eng. 30(1): 101-114 (2018) - [j8]Chin-Chi Hsu, Mi-Yen Yeh, Shou-De Lin:
A General Framework for Implicit and Explicit Social Recommendation. IEEE Trans. Knowl. Data Eng. 30(12): 2228-2241 (2018) - [c32]Wush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen:
Deep Censored Learning of the Winning Price in the Real Time Bidding. KDD 2018: 2526-2535 - [i1]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-aware Collaborative Filtering: Survey and Classification. CoRR abs/1810.08765 (2018) - 2017
- [c31]Chun-Yen Kuo, Mi-Yen Yeh, Jian Pei:
Principal Patern Mining on Graphs. ASONAM 2017: 278-281 - [c30]Cheng-Chin Tu, Mi-Yen Yeh, Tei-Wei Kuo:
A fast non-volatile memory aware algorithm for generating random scale-free networks. IEEE BigData 2017: 787-796 - [c29]Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin:
PRUNE: Preserving Proximity and Global Ranking for Network Embedding. NIPS 2017: 5257-5266 - 2016
- [c28]Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang:
On the guarantee of containment probability in influence minimization. ASONAM 2016: 231-238 - [c27]Yu-Jen Lin, Mi-Yen Yeh, Fang-Yi Chiu, Ya-Hui Chan, Chia-Chi Wu:
Predicting popularity of articles on bulletin board system. BigComp 2016: 169-176 - 2015
- [c26]Shan-Yun Teng, Mi-Yen Yeh, Kun-Ta Chuang:
Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network. ASONAM 2015: 266-269 - [c25]Chien-Wei Chang, Mi-Yen Yeh, Kun-Ta Chuang:
On Influence Maximization to Target Users in the Presence of Multiple Acceptances. ASONAM 2015: 1592-1593 - [c24]Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh:
The roles of network communities in social information diffusion. IEEE BigData 2015: 391-400 - [c23]Chin-Chi Hsu, Perng-Hwa Kung, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons:
Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping. IEEE BigData 2015: 551-560 - [c22]Jhao-Yin Li, Mi-Yen Yeh, Ming-Syan Chen, Jihg-Hong Lin:
Modeling social influences from call records and mobile web browsing histories. IEEE BigData 2015: 1357-1361 - [c21]Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, Claudia Eckert:
Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings. DSAA 2015: 1-10 - [c20]Wush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen:
Predicting Winning Price in Real Time Bidding with Censored Data. KDD 2015: 1305-1314 - [c19]Cheng-Te Li, Yu-Jen Lin, Rui Yan, Mi-Yen Yeh:
Trend-Based Citation Count Prediction for Research Articles. PAKDD (1) 2015: 659-671 - 2014
- [j7]Pei-Lun Suei, Mi-Yen Yeh, Tei-Wei Kuo:
Endurance-Aware Flash-Cache Management for Storage Servers. IEEE Trans. Computers 63(10): 2416-2430 (2014) - [j6]Hua-Wei Fang, Mi-Yen Yeh, Pei-Lun Suei, Tei-Wei Kuo:
An Adaptive Endurance-Aware B+-Tree for Flash Memory Storage Systems. IEEE Trans. Computers 63(11): 2661-2673 (2014) - [c18]Jun-Li Lu, Ling-Yin Wei, Mi-Yen Yeh:
Influence maximization in a social network in the presence of multiple influences and acceptances. DSAA 2014: 230-236 - [c17]Wan-Hsin Tang, Mi-Yen Yeh, Anthony J. T. Lee:
Information diffusion among users on Facebook fan pages over time: Its impact on movie box office. DSAA 2014: 340-346 - [c16]Shun-Hsing Ou, Yu-Chen Lu, Jui-Pin Wang, Shao-Yi Chien, Shou-De Lin, Mi-Yen Yeh, Chia-Han Lee, Phillip B. Gibbons, V. Srinivasa Somayazulu, Yen-Kuang Chen:
Communication-efficient multi-view keyframe extraction in distributed video sensors. VCIP 2014: 13-16 - 2013
- [j5]Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian Pei:
What distinguish one from its peers in social networks? Data Min. Knowl. Discov. 27(3): 396-420 (2013) - [j4]Huey-Ru Wu, Mi-Yen Yeh, Ming-Syan Chen:
Profiling Moving Objects by Dividing and Clustering Trajectories Spatiotemporally. IEEE Trans. Knowl. Data Eng. 25(11): 2615-2628 (2013) - [c15]Jian Pei, Wush Chi-Hsuan Wu, Mi-Yen Yeh:
On shortest unique substring queries. ICDE 2013: 937-948 - [c14]Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons:
Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems. ICDM 2013: 787-796 - [c13]Chia-Chen Yen, Mi-Yen Yeh, Ming-Syan Chen:
An Efficient Approach to Updating Closeness Centrality and Average Path Length in Dynamic Networks. ICDM 2013: 867-876 - [c12]Jen-Hai Chou, Mi-Yen Yeh:
An anonymous matching system based on mobile numbers. MobiSys 2013: 487-488 - [c11]Hao-Hsiang Wu, Mi-Yen Yeh:
Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks. PAKDD (2) 2013: 61-72 - [c10]Hua-Wei Fang, Mi-Yen Yeh, Tei-Wei Kuo:
MLC-flash-friendly logging and recovery for databases. SAC 2013: 1541-1546 - [c9]Ling-Yin Wei, Mi-Yen Yeh, Grace Lin, Ya-Hui Chan, Wei Jung Lai:
Discovering Point-of-Interest Signatures Based on Group Features from Geo-social Networking Data. TAAI 2013: 182-187 - 2012
- [c8]Wush Chi-Hsuan Wu, Mi-Yen Yeh, Jian Pei:
Random Error Reduction in Similarity Search on Time Series: A Statistical Approach. ICDE 2012: 858-869 - 2011
- [c7]Hua-Wei Fang, Mi-Yen Yeh, Pei-Lun Suei, Tei-Wei Kuo:
A flash-friendly B+-tree with endurance-awareness. ESTIMedia 2011: 29-36 - [c6]Kai-Ping Chang, Ling-Yin Wei, Mi-Yen Yeh, Wen-Chih Peng:
Discovering personalized routes from trajectories. GIS-LBSN 2011: 33-40 - [c5]Jhao-Yin Li, Mi-Yen Yeh:
On Sampling Type Distribution from Heterogeneous Social Networks. PAKDD (2) 2011: 111-122 - 2010
- [c4]Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen:
Subsequence Matching of Stream Synopses under the Time Warping Distance. PAKDD (2) 2010: 354-361
2000 – 2009
- 2009
- [c3]Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen:
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams. EDBT 2009: 684-695 - 2008
- [j3]Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen:
LeeWave: level-wise distribution of wavelet coefficients for processing kNN queries over distributed streams. Proc. VLDB Endow. 1(1): 586-597 (2008) - 2007
- [j2]Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen:
Clustering over Multiple Evolving Streams by Events and Correlations. IEEE Trans. Knowl. Data Eng. 19(10): 1349-1362 (2007) - 2006
- [j1]Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen:
Adaptive Clustering for Multiple Evolving Streams. IEEE Trans. Knowl. Data Eng. 18(9): 1166-1180 (2006) - [c2]Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen:
COMET: Event-Driven Clustering over Multiple Evolving Streams. PAKDD 2006: 719-723 - 2004
- [c1]Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen:
Clustering on Demand for Multiple Data Streams. ICDM 2004: 367-370
Coauthor Index
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